Appendices
D
Memory and Knowledge Base Schemas
AI Agents
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Preface
Part I — Foundations of Agentic AI
1
Foundations of Agentic AI
2
Reasoning with Large Language Models
3
Retrieval-Augmented Generation (RAG)
Part II — Architectures, Patterns, and Memory
4
Agent Design Patterns
5
Memory and Context Management
6
Frameworks and Tooling
Part III — Tools, Frameworks, and Systems
7
Multimodal and Tool-Integrated Agents
8
Learning and Adaptation
9
Evaluation and Benchmarking
10
Safety, Ethics, and Alignment
Part IV — Evaluation, Safety, and Optimization
11
Emerging Frontiers
12
AI Operating Systems
13
Spectral Analysis
14
Spectral Analysis
Part V — Emerging Frontiers and AI Operating Systems
15
Spectral Analysis
16
Spectral Analysis
References
Appendices
A
Prompt Engineering Patterns
B
Datasets, Benchmarks, and Evaluation Tools
C
Implementation Templates
D
Memory and Knowledge Base Schemas
Software
Appendices
D
Memory and Knowledge Base Schemas
Appendix D — Memory and Knowledge Base Schemas
Text
C
Implementation Templates
Software